The GAN based VTON methods [1]}, [2]}, [3]} are becoming popular due to the ability of their GAN to generate images conditioned on image data such as mask, garment or pose.
One of the first methods to use GANs for VTON [1]} uses the cycle consistency approach to generate humans in different garments. The conditional GAN in [1]} can accept the reference garment, model image, and model garment as inputs to the network, which gives the ability to control the generation of results conditioned on the reference garment.
